diff --git a/draw/draw.go b/draw/draw.go
new file mode 100644
index 0000000..b92e3c7
--- /dev/null
+++ b/draw/draw.go
@@ -0,0 +1,79 @@
+// Copyright 2015 The Go Authors. All rights reserved.
+// Use of this source code is governed by a BSD-style
+// license that can be found in the LICENSE file.
+
+// Package draw provides image composition functions.
+//
+// See "The Go image/draw package" for an introduction to this package:
+// http://golang.org/doc/articles/image_draw.html
+//
+// This package is a superset of and a drop-in replacement for the image/draw
+// package in the standard library.
+package draw
+
+// This file just contains the API exported by the image/draw package in the
+// standard library. Other files in this package provide additional features.
+
+import (
+	"image"
+	"image/color"
+	"image/draw"
+)
+
+// Draw calls DrawMask with a nil mask.
+func Draw(dst Image, r image.Rectangle, src image.Image, sp image.Point, op Op) {
+	draw.Draw(dst, r, src, sp, draw.Op(op))
+}
+
+// DrawMask aligns r.Min in dst with sp in src and mp in mask and then
+// replaces the rectangle r in dst with the result of a Porter-Duff
+// composition. A nil mask is treated as opaque.
+func DrawMask(dst Image, r image.Rectangle, src image.Image, sp image.Point, mask image.Image, mp image.Point, op Op) {
+	draw.DrawMask(dst, r, src, sp, mask, mp, draw.Op(op))
+}
+
+// Drawer contains the Draw method.
+type Drawer interface {
+	// Draw aligns r.Min in dst with sp in src and then replaces the
+	// rectangle r in dst with the result of drawing src on dst.
+	Draw(dst Image, r image.Rectangle, src image.Image, sp image.Point)
+}
+
+// FloydSteinberg is a Drawer that is the Src Op with Floyd-Steinberg error
+// diffusion.
+var FloydSteinberg Drawer = floydSteinberg{}
+
+type floydSteinberg struct{}
+
+func (floydSteinberg) Draw(dst Image, r image.Rectangle, src image.Image, sp image.Point) {
+	draw.FloydSteinberg.Draw(dst, r, src, sp)
+}
+
+// Image is an image.Image with a Set method to change a single pixel.
+type Image interface {
+	image.Image
+	Set(x, y int, c color.Color)
+}
+
+// Op is a Porter-Duff compositing operator.
+type Op int
+
+const (
+	// Over specifies ``(src in mask) over dst''.
+	Over Op = Op(draw.Over)
+	// Src specifies ``src in mask''.
+	Src Op = Op(draw.Src)
+)
+
+// Draw implements the Drawer interface by calling the Draw function with
+// this Op.
+func (op Op) Draw(dst Image, r image.Rectangle, src image.Image, sp image.Point) {
+	(draw.Op(op)).Draw(dst, r, src, sp)
+}
+
+// Quantizer produces a palette for an image.
+type Quantizer interface {
+	// Quantize appends up to cap(p) - len(p) colors to p and returns the
+	// updated palette suitable for converting m to a paletted image.
+	Quantize(p color.Palette, m image.Image) color.Palette
+}
diff --git a/draw/scale.go b/draw/scale.go
new file mode 100644
index 0000000..96b3a0c
--- /dev/null
+++ b/draw/scale.go
@@ -0,0 +1,375 @@
+// Copyright 2015 The Go Authors. All rights reserved.
+// Use of this source code is governed by a BSD-style
+// license that can be found in the LICENSE file.
+
+package draw
+
+// TODO: should Scale and NewScaler also take an Op argument?
+
+import (
+	"image"
+	"image/color"
+	"math"
+)
+
+// Scale scales the part of the source image defined by src and sr and writes
+// to the part of the destination image defined by dst and dr.
+//
+// Of the interpolators provided by this package:
+//	- NearestNeighbor is fast but usually looks worst.
+//	- CatmullRom is slow but usually looks best.
+//	- ApproxBiLinear has reasonable speed and quality.
+//
+// The time taken depends on the size of dr. For kernel interpolators, the
+// speed also depends on the size of sr, and so are often slower than
+// non-kernel interpolators, especially when scaling down.
+func Scale(dst Image, dr image.Rectangle, src image.Image, sr image.Rectangle, q Interpolator) {
+	q.NewScaler(int32(dr.Dx()), int32(dr.Dy()), int32(sr.Dx()), int32(sr.Dy())).Scale(dst, dr.Min, src, sr.Min)
+}
+
+// Scaler scales part of a source image, starting from sp, and writes to a
+// destination image, starting from dp. The destination and source width and
+// heights are pre-determined, as part of the Scaler.
+//
+// A Scaler is safe to use concurrently.
+type Scaler interface {
+	Scale(dst Image, dp image.Point, src image.Image, sp image.Point)
+}
+
+// Interpolator creates scalers for a given destination and source width and
+// heights.
+type Interpolator interface {
+	NewScaler(dw, dh, sw, sh int32) Scaler
+}
+
+// Kernel is an interpolator that blends source pixels weighted by a symmetric
+// kernel function.
+type Kernel struct {
+	// Support is the kernel support and must be >= 0. At(t) is assumed to be
+	// zero when t >= Support.
+	Support float64
+	// At is the kernel function. It will only be called with t in the
+	// range [0, Support).
+	At func(t float64) float64
+}
+
+// NewScaler implements the Interpolator interface.
+func (k *Kernel) NewScaler(dw, dh, sw, sh int32) Scaler {
+	return &kernelScaler{
+		dw:         dw,
+		dh:         dh,
+		sw:         sw,
+		sh:         sh,
+		horizontal: newDistrib(k, dw, sw),
+		vertical:   newDistrib(k, dh, sh),
+	}
+}
+
+var (
+	// NearestNeighbor is the nearest neighbor interpolator. It is very fast,
+	// but usually gives very low quality results. When scaling up, the result
+	// will look 'blocky'.
+	NearestNeighbor = Interpolator(nnInterpolator{})
+
+	// ApproxBiLinear is a mixture of the nearest neighbor and bi-linear
+	// interpolators. It is fast, but usually gives medium quality results.
+	//
+	// It implements bi-linear interpolation when upscaling and a bi-linear
+	// blend of the 4 nearest neighbor pixels when downscaling. This yields
+	// nicer quality than nearest neighbor interpolation when upscaling, but
+	// the time taken is independent of the number of source pixels, unlike the
+	// bi-linear interpolator. When downscaling a large image, the performance
+	// difference can be significant.
+	ApproxBiLinear = Interpolator(ablInterpolator{})
+
+	// BiLinear is the tent kernel. It is slow, but usually gives high quality
+	// results.
+	BiLinear = &Kernel{1, func(t float64) float64 {
+		return 1 - t
+	}}
+
+	// CatmullRom is the Catmull-Rom kernel. It is very slow, but usually gives
+	// very high quality results.
+	//
+	// It is an instance of the more general cubic BC-spline kernel with parameters
+	// B=0 and C=0.5. See Mitchell and Netravali, "Reconstruction Filters in
+	// Computer Graphics", Computer Graphics, Vol. 22, No. 4, pp. 221-228.
+	CatmullRom = &Kernel{2, func(t float64) float64 {
+		if t < 1 {
+			return (1.5*t-2.5)*t*t + 1
+		}
+		return ((-0.5*t+2.5)*t-4)*t + 2
+	}}
+
+	// TODO: a Kaiser-Bessel kernel?
+)
+
+type nnInterpolator struct{}
+
+func (nnInterpolator) NewScaler(dw, dh, sw, sh int32) Scaler { return &nnScaler{dw, dh, sw, sh} }
+
+type nnScaler struct {
+	dw, dh, sw, sh int32
+}
+
+func (z *nnScaler) Scale(dst Image, dp image.Point, src image.Image, sp image.Point) {
+	if z.dw <= 0 || z.dh <= 0 || z.sw <= 0 || z.sh <= 0 {
+		return
+	}
+	dstColorRGBA64 := &color.RGBA64{}
+	dstColor := color.Color(dstColorRGBA64)
+	for dy := int32(0); dy < z.dh; dy++ {
+		sy := (2*uint64(dy) + 1) * uint64(z.sh) / (2 * uint64(z.dh))
+		for dx := int32(0); dx < z.dw; dx++ {
+			sx := (2*uint64(dx) + 1) * uint64(z.sw) / (2 * uint64(z.dw))
+			pr, pg, pb, pa := src.At(sp.X+int(sx), sp.Y+int(sy)).RGBA()
+			dstColorRGBA64.R = uint16(pr)
+			dstColorRGBA64.G = uint16(pg)
+			dstColorRGBA64.B = uint16(pb)
+			dstColorRGBA64.A = uint16(pa)
+			dst.Set(dp.X+int(dx), dp.Y+int(dy), dstColor)
+		}
+	}
+}
+
+type ablInterpolator struct{}
+
+func (ablInterpolator) NewScaler(dw, dh, sw, sh int32) Scaler { return &ablScaler{dw, dh, sw, sh} }
+
+type ablScaler struct {
+	dw, dh, sw, sh int32
+}
+
+func (z *ablScaler) Scale(dst Image, dp image.Point, src image.Image, sp image.Point) {
+	if z.dw <= 0 || z.dh <= 0 || z.sw <= 0 || z.sh <= 0 {
+		return
+	}
+	yscale := float64(z.sh) / float64(z.dh)
+	xscale := float64(z.sw) / float64(z.dw)
+	dstColorRGBA64 := &color.RGBA64{}
+	dstColor := color.Color(dstColorRGBA64)
+	for dy := int32(0); dy < z.dh; dy++ {
+		sy := (float64(dy)+0.5)*yscale - 0.5
+		sy0 := int32(sy)
+		yFrac0 := sy - float64(sy0)
+		yFrac1 := 1 - yFrac0
+		sy1 := sy0 + 1
+		if sy < 0 {
+			sy0, sy1 = 0, 0
+			yFrac0, yFrac1 = 0, 1
+		} else if sy1 >= z.sh {
+			sy1 = sy0
+			yFrac0, yFrac1 = 1, 0
+		}
+		for dx := int32(0); dx < z.dw; dx++ {
+			sx := (float64(dx)+0.5)*xscale - 0.5
+			sx0 := int32(sx)
+			xFrac0 := sx - float64(sx0)
+			xFrac1 := 1 - xFrac0
+			sx1 := sx0 + 1
+			if sx < 0 {
+				sx0, sx1 = 0, 0
+				xFrac0, xFrac1 = 0, 1
+			} else if sx1 >= z.sw {
+				sx1 = sx0
+				xFrac0, xFrac1 = 1, 0
+			}
+			s00ru, s00gu, s00bu, s00au := src.At(sp.X+int(sx0), sp.Y+int(sy0)).RGBA()
+			s00r := float64(s00ru)
+			s00g := float64(s00gu)
+			s00b := float64(s00bu)
+			s00a := float64(s00au)
+			s10ru, s10gu, s10bu, s10au := src.At(sp.X+int(sx1), sp.Y+int(sy0)).RGBA()
+			s10r := float64(s10ru)
+			s10g := float64(s10gu)
+			s10b := float64(s10bu)
+			s10a := float64(s10au)
+			s10r = xFrac1*s00r + xFrac0*s10r
+			s10g = xFrac1*s00g + xFrac0*s10g
+			s10b = xFrac1*s00b + xFrac0*s10b
+			s10a = xFrac1*s00a + xFrac0*s10a
+			s01ru, s01gu, s01bu, s01au := src.At(sp.X+int(sx0), sp.Y+int(sy1)).RGBA()
+			s01r := float64(s01ru)
+			s01g := float64(s01gu)
+			s01b := float64(s01bu)
+			s01a := float64(s01au)
+			s11ru, s11gu, s11bu, s11au := src.At(sp.X+int(sx1), sp.Y+int(sy1)).RGBA()
+			s11r := float64(s11ru)
+			s11g := float64(s11gu)
+			s11b := float64(s11bu)
+			s11a := float64(s11au)
+			s11r = xFrac1*s01r + xFrac0*s11r
+			s11g = xFrac1*s01g + xFrac0*s11g
+			s11b = xFrac1*s01b + xFrac0*s11b
+			s11a = xFrac1*s01a + xFrac0*s11a
+			s11r = yFrac1*s10r + yFrac0*s11r
+			s11g = yFrac1*s10g + yFrac0*s11g
+			s11b = yFrac1*s10b + yFrac0*s11b
+			s11a = yFrac1*s10a + yFrac0*s11a
+			dstColorRGBA64.R = uint16(s11r)
+			dstColorRGBA64.G = uint16(s11g)
+			dstColorRGBA64.B = uint16(s11b)
+			dstColorRGBA64.A = uint16(s11a)
+			dst.Set(dp.X+int(dx), dp.Y+int(dy), dstColor)
+		}
+	}
+}
+
+type kernelScaler struct {
+	dw, dh, sw, sh       int32
+	horizontal, vertical distrib
+}
+
+func (z *kernelScaler) Scale(dst Image, dp image.Point, src image.Image, sp image.Point) {
+	if z.dw <= 0 || z.dh <= 0 || z.sw <= 0 || z.sh <= 0 {
+		return
+	}
+	// TODO: is it worth having a sync.Pool for this temporary buffer?
+	tmp := make([][4]float64, z.dw*z.sh)
+	z.scaleX(tmp, src, sp)
+	z.scaleY(dst, dp, tmp)
+}
+
+// source is a range of contribs, their inverse total weight, and that ITW
+// divided by 0xffff.
+type source struct {
+	i, j               int32
+	invTotalWeight     float64
+	invTotalWeightFFFF float64
+}
+
+// contrib is the weight of a column or row.
+type contrib struct {
+	coord  int32
+	weight float64
+}
+
+// distrib measures how source pixels are distributed over destination pixels.
+type distrib struct {
+	// sources are what contribs each column or row in the source image owns,
+	// and the total weight of those contribs.
+	sources []source
+	// contribs are the contributions indexed by sources[s].i and sources[s].j.
+	contribs []contrib
+}
+
+// newDistrib returns a distrib that distributes sw source columns (or rows)
+// over dw destination columns (or rows).
+func newDistrib(q *Kernel, dw, sw int32) distrib {
+	scale := float64(sw) / float64(dw)
+	halfWidth, kernelArgScale := q.Support, 1.0
+	if scale > 1 {
+		halfWidth *= scale
+		kernelArgScale = 1 / scale
+	}
+
+	// Make the sources slice, one source for each column or row, and temporarily
+	// appropriate its elements' fields so that invTotalWeight is the scaled
+	// co-ordinate of the source column or row, and i and j are the lower and
+	// upper bounds of the range of destination columns or rows affected by the
+	// source column or row.
+	n, sources := int32(0), make([]source, dw)
+	for x := range sources {
+		center := (float64(x)+0.5)*scale - 0.5
+		i := int32(math.Floor(center - halfWidth))
+		if i < 0 {
+			i = 0
+		}
+		j := int32(math.Ceil(center + halfWidth))
+		if j >= sw {
+			j = sw - 1
+			if j < i {
+				j = i
+			}
+		}
+		sources[x] = source{i: i, j: j, invTotalWeight: center}
+		n += j - i + 1
+	}
+
+	contribs := make([]contrib, 0, n)
+	for k, b := range sources {
+		totalWeight := 0.0
+		l := int32(len(contribs))
+		for coord := b.i; coord <= b.j; coord++ {
+			t := (b.invTotalWeight - float64(coord)) * kernelArgScale
+			if t < 0 {
+				t = -t
+			}
+			if t >= q.Support {
+				continue
+			}
+			weight := q.At(t)
+			if weight == 0 {
+				continue
+			}
+			totalWeight += weight
+			contribs = append(contribs, contrib{coord, weight})
+		}
+		totalWeight = 1 / totalWeight
+		sources[k] = source{
+			i:                  l,
+			j:                  int32(len(contribs)),
+			invTotalWeight:     totalWeight,
+			invTotalWeightFFFF: totalWeight / 0xffff,
+		}
+	}
+
+	return distrib{sources, contribs}
+}
+
+// scaleX distributes the source image's columns over the temporary image.
+func (z *kernelScaler) scaleX(tmp [][4]float64, src image.Image, sp image.Point) {
+	t := 0
+	for y := int32(0); y < z.sh; y++ {
+		for _, s := range z.horizontal.sources {
+			var r, g, b, a float64
+			for _, c := range z.horizontal.contribs[s.i:s.j] {
+				rr, gg, bb, aa := src.At(sp.X+int(c.coord), sp.Y+int(y)).RGBA()
+				r += float64(rr) * c.weight
+				g += float64(gg) * c.weight
+				b += float64(bb) * c.weight
+				a += float64(aa) * c.weight
+			}
+			tmp[t] = [4]float64{
+				r * s.invTotalWeightFFFF,
+				g * s.invTotalWeightFFFF,
+				b * s.invTotalWeightFFFF,
+				a * s.invTotalWeightFFFF,
+			}
+			t++
+		}
+	}
+}
+
+// scaleY distributes the temporary image's rows over the destination image.
+func (z *kernelScaler) scaleY(dst Image, dp image.Point, tmp [][4]float64) {
+	dstColorRGBA64 := &color.RGBA64{}
+	dstColor := color.Color(dstColorRGBA64)
+	for x := int32(0); x < z.dw; x++ {
+		for y, s := range z.vertical.sources {
+			var r, g, b, a float64
+			for _, c := range z.vertical.contribs[s.i:s.j] {
+				p := &tmp[c.coord*z.dw+x]
+				r += p[0] * c.weight
+				g += p[1] * c.weight
+				b += p[2] * c.weight
+				a += p[3] * c.weight
+			}
+			dstColorRGBA64.R = ftou(r * s.invTotalWeight)
+			dstColorRGBA64.G = ftou(g * s.invTotalWeight)
+			dstColorRGBA64.B = ftou(b * s.invTotalWeight)
+			dstColorRGBA64.A = ftou(a * s.invTotalWeight)
+			dst.Set(dp.X+int(x), dp.Y+y, dstColor)
+		}
+	}
+}
+
+func ftou(f float64) uint16 {
+	i := int32(0xffff*f + 0.5)
+	if i > 0xffff {
+		return 0xffff
+	} else if i > 0 {
+		return uint16(i)
+	}
+	return 0
+}
diff --git a/draw/scale_test.go b/draw/scale_test.go
new file mode 100644
index 0000000..bc99393
--- /dev/null
+++ b/draw/scale_test.go
@@ -0,0 +1,124 @@
+// Copyright 2015 The Go Authors. All rights reserved.
+// Use of this source code is governed by a BSD-style
+// license that can be found in the LICENSE file.
+
+package draw
+
+import (
+	"flag"
+	"fmt"
+	"image"
+	"image/png"
+	"os"
+	"reflect"
+	"testing"
+
+	_ "image/jpeg"
+)
+
+var genScaleFiles = flag.Bool("gen_scale_files", false, "whether to generate the TestScaleXxx golden files.")
+
+// testScale tests that scaling the source image gives the exact destination
+// image. This is to ensure that any refactoring or optimization of the scaling
+// code doesn't change the scaling behavior. Changing the actual algorithm or
+// kernel used by any particular quality setting will obviously change the
+// resultant pixels. In such a case, use the gen_scale_files flag to regenerate
+// the golden files.
+func testScale(t *testing.T, w int, h int, direction, srcFilename string) {
+	f, err := os.Open("../testdata/go-turns-two-" + srcFilename)
+	if err != nil {
+		t.Fatalf("Open: %v", err)
+	}
+	defer f.Close()
+	src, _, err := image.Decode(f)
+	if err != nil {
+		t.Fatalf("Decode: %v", err)
+	}
+	testCases := map[string]Interpolator{
+		"nn": NearestNeighbor,
+		"ab": ApproxBiLinear,
+		"bl": BiLinear,
+		"cr": CatmullRom,
+	}
+	for name, q := range testCases {
+		gotFilename := fmt.Sprintf("../testdata/go-turns-two-%s-%s.png", direction, name)
+
+		got := image.NewRGBA(image.Rect(0, 0, w, h))
+		Scale(got, got.Bounds(), src, src.Bounds(), q)
+		if *genScaleFiles {
+			g, err := os.Create(gotFilename)
+			if err != nil {
+				t.Errorf("Create: %v", err)
+				continue
+			}
+			defer g.Close()
+			if err := png.Encode(g, got); err != nil {
+				t.Errorf("Encode: %v", err)
+				continue
+			}
+			continue
+		}
+
+		g, err := os.Open(gotFilename)
+		if err != nil {
+			t.Errorf("Open: %v", err)
+			continue
+		}
+		defer g.Close()
+		want, err := png.Decode(g)
+		if err != nil {
+			t.Errorf("Decode: %v", err)
+			continue
+		}
+
+		if !reflect.DeepEqual(got, want) {
+			t.Errorf("%s: actual image differs from golden image", gotFilename)
+			continue
+		}
+	}
+}
+
+func TestScaleDown(t *testing.T) { testScale(t, 100, 100, "down", "280x360.jpeg") }
+func TestScaleUp(t *testing.T)   { testScale(t, 75, 100, "up", "14x18.png") }
+
+func benchScale(b *testing.B, largeSrc bool, w int, h int, q Interpolator) {
+	var src image.Image
+	if largeSrc {
+		// 3072 x 2304 is over 7 million pixels at 4:3, comparable to a
+		// 2015 smart-phone camera's output.
+		src = image.NewYCbCr(image.Rect(0, 0, 3072, 2304), image.YCbCrSubsampleRatio420)
+	} else {
+		// tux.png is a 386 x 395 image.
+		f, err := os.Open("../testdata/tux.png")
+		if err != nil {
+			b.Fatalf("Open: %v", err)
+		}
+		defer f.Close()
+		src, err = png.Decode(f)
+		if err != nil {
+			b.Fatalf("Decode: %v", err)
+		}
+	}
+
+	dst := image.NewRGBA(image.Rect(0, 0, w, h))
+	dr, sr := dst.Bounds(), src.Bounds()
+	scaler := q.NewScaler(int32(dr.Dx()), int32(dr.Dy()), int32(sr.Dx()), int32(sr.Dy()))
+
+	b.ResetTimer()
+	for i := 0; i < b.N; i++ {
+		scaler.Scale(dst, dr.Min, src, sr.Min)
+	}
+}
+
+func BenchmarkScaleLargeDownNN(b *testing.B) { benchScale(b, true, 200, 150, NearestNeighbor) }
+func BenchmarkScaleLargeDownAB(b *testing.B) { benchScale(b, true, 200, 150, ApproxBiLinear) }
+func BenchmarkScaleLargeDownBL(b *testing.B) { benchScale(b, true, 200, 150, BiLinear) }
+func BenchmarkScaleLargeDownCR(b *testing.B) { benchScale(b, true, 200, 150, CatmullRom) }
+func BenchmarkScaleDownNN(b *testing.B)      { benchScale(b, false, 120, 80, NearestNeighbor) }
+func BenchmarkScaleDownAB(b *testing.B)      { benchScale(b, false, 120, 80, ApproxBiLinear) }
+func BenchmarkScaleDownBL(b *testing.B)      { benchScale(b, false, 120, 80, BiLinear) }
+func BenchmarkScaleDownCR(b *testing.B)      { benchScale(b, false, 120, 80, CatmullRom) }
+func BenchmarkScaleUpNN(b *testing.B)        { benchScale(b, false, 800, 600, NearestNeighbor) }
+func BenchmarkScaleUpAB(b *testing.B)        { benchScale(b, false, 800, 600, ApproxBiLinear) }
+func BenchmarkScaleUpBL(b *testing.B)        { benchScale(b, false, 800, 600, BiLinear) }
+func BenchmarkScaleUpCR(b *testing.B)        { benchScale(b, false, 800, 600, CatmullRom) }
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